If an alarm signal is observed, experiment would involve re-scans of the candidate frequencies to verify if they are statistical deviations or real axion-like signals.
The re-scans would be particularly time-demanding if the experiment is based on long-term search data.
Alternatively,
we plan to build a network of synchronized spin-based amplifiers to differentiate false alarms from true detection events.
Because the apparatus used in our experiment is small-scale and inexpensive,
we could quickly build such a network comprising of, for example, ten spin-based amplifiers.
Each sensor in the network independently performs the search for axion-like signals in the same frequency range from 1 Hz to 200 Hz.
Using the network,
claims of detecting axion-like dark matter could be made for candidates that are all above the thresholds for every sensor measurement at the searched frequency.
This leads to a significant decrease in false-alarm probability.
For example, with a network of ten spin-based amplifiers, the false-alarm probability becomes \(p_0^{10} \approx 10^{-13}\)  and the false-alarm rate is \(\sim 10^{-7}\)  alarms per experiment.
In addition to reducing false-alarm rate,
such a sensor network is promising to compose an exotic field telescope array for multi-messenger astronomy, as recently proposed [1]}, [2]},
and address the stochastic fluctuations of bosonic dark matter [3]}.
